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12/04/2022
Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation
Large pretrained language models can easily produce toxic or biased cont...
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09/30/2021
Towards Efficient Post-training Quantization of Pre-trained Language Models
Network quantization has gained increasing attention with the rapid grow...
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03/05/2021
Non-invasive Self-attention for Side Information Fusion in Sequential Recommendation
Sequential recommender systems aim to model users' evolving interests fr...
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06/21/2020
Enriching Large-Scale Eventuality Knowledge Graph with Entailment Relations
Computational and cognitive studies suggest that the abstraction of even...
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08/21/2019
Dialog State Tracking with Reinforced Data Augmentation
Neural dialog state trackers are generally limited due to the lack of qu...
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06/24/2019
Decomposable Neural Paraphrase Generation
Paraphrasing exists at different granularity levels, such as lexical lev...
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12/26/2018
Meta Learning for Few-shot Keyword Spotting
Keyword spotting with limited training data is a challenging task which ...
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11/01/2017
Paraphrase Generation with Deep Reinforcement Learning
Automatic generation of paraphrases for a given sentence is an important...
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11/07/2016
Neural Machine Translation with Reconstruction
Although end-to-end Neural Machine Translation (NMT) has achieved remark...
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12/04/2015
Neural Generative Question Answering
This paper presents an end-to-end neural network model, named Neural Gen...
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04/23/2015
Multimodal Convolutional Neural Networks for Matching Image and Sentence
In this paper, we propose multimodal convolutional neural networks (m-CN...
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03/09/2015
Neural Responding Machine for Short-Text Conversation
We propose Neural Responding Machine (NRM), a neural network-based respo...
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11/25/2013